We describe an automatic and generic framework for ranking research institutions and scholars based on publications. Compared to other publication-based ranking methodologies, our framework is automatic and can apply to a larger selection of publication venues over a longer time span without any further manual work. Our framework is generic so it can apply not only to computer science and relat...

A collection of citation data, the HistComp, is available from the Internet as a database of examples of real life citation networks. The purposes of this approach is the analysis of these citation networks on learned literature by presenting its typical steps and results. We have selected the bibliographic insights into the “The Biological Bulletin”, the journal published since 1897 by the Woo...

This study provides a comprehensive review of the knowledge-hiding field based on objective measures impact. Research knowledge hiding has grown in recent years, resulting body literature that now includes 103 articles specifically discussing and/or withholding organisations. Our presents quantitative these studies using combination three bibliometric techniques: document co-citation analysis, ...

I study the measurement of the influence of scientists based on bibliographic data. I propose a new measure that accounts for indirect influence and allows to compare scientists across different fields of science. By contrast, common measures of influence that"count citations", such as the h-index, are unable to satisfy either of these two properties. I use the axiomatic method in two opposite ...

University programs are the way to develop knowledge and improvescientific research, as well locusof be applied in professional practice. Records Management theoretical field of Archival Science has become one main supports for document organization, facilitating preservation produced documents, rationalizing their storage, making access archival information more efficient. In this perspective,...

The KWIC Index is a widely-used tool for finding desired paper titles since it is simple yet very powerful. So in a bibliography of some specific area, the KWIC Index of Titles, Author Index and Subject Index are normally used. These indices are, however, not always sufficient for finding mutually-related papers. In this paper new indices for bibliographic data will be presented together with t...

This paper presents an approach for identifying similar documents that can be used to assist scientists in finding related work. The approach called Citation Proximity Analysis (CPA) is a further development of co-citation analysis, but in addition, considers the proximity of citations to each other within an article‟s full-text. The underlying idea is that the closer citations are to each othe...

The challenge of detecting research topics in a specific research field has attracted attention from researchers in the bibliometrics community. In this study, to solve two problems of clustering papers, i.e., the influence of different distributions of citation links and involved textual features on similarity computation, the authors propose a hybrid self-optimized clustering model to detect ...

We present animations based on the aggregated journal-journal citations of Leonardo during the period 1974-2008. Leonardo is mainly cited by journals outside the arts domain for cultural reasons, for example, in neuropsychology and physics. Articles in Leonardo itself cite a large number of journals, but with a focus on the arts. Animations at this level of aggregation enable us to show the his...

This paper presents a new paradigm for network computing over the Internet called universal personal computing, where mobile users can access computing resources, network services, and personalized computing environments anywhere using any available terminals. The user and system requirements are defined, and an agent-based protocol architectural required to manage different mobile objects, i.e...